Hybrid Data Scientist – Deep Learning Practitioner

at Capital One

• Job title: Data Scientist – Deep Learning Practitioner
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch, Tensorflow
• Location requirements: Hybrid, London, United Kingdom

About the role

• Data Scientist developing deep learning solutions and models to address business challenges in underwriting. Collaborating with tech and product partners utilizing large language models in a hybrid work environment.

Responsibilities

• Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business.
• Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation.
• Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs).
• This collaboration will help provide seamless experiences for our customers and associates.
• Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
• Work cross-functionally on projects that support key business initiatives and drive sustainable growth.

Requirements

• Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.
• Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
• Familiarity with both pre-training and fine-tuning of large-scale models.
• Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.
• A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
• Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
• Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.
• A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.

Benefits

• Immediate access to our core benefits including pension scheme
• Bonus
• Generous holiday entitlement
• Private medical insurance
• Flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
• Open-plan workspaces
• Accessible facilities designed to inspire and support you
• Fully-serviced gym
• Subsidised restaurant
• Mindfulness and music rooms
• Rooftop running track
• Espresso at the Workshop Coffee café